Hi
Thanks to Jeremy for his response...
I have been able to generate the factors and generate mlogit data using his
code:
mldata-mlogit.data(mydata, varying=NULL, choice=pitch_type_1,
shape=wide)
my mlogit data looks like:
dependent_var,A variable,B Var,chid,alt
FALSE,110,19,1,0
Hi All,
I am attempting to build a Multinomial Logit model with dummy variables of
the following form:
Dependent Variable : 0-8 Discrete Choices
Dummy Variable 1: 965 dummy varsgh...@student.monash.edu.augh@gp1.com
Dummy Variable 2: 805 dummy vars
The data set I am using has the dummy columns
If you are just looking to collapse the dummy variables into two factor
variables, the following will work.
## Generate some example data
set.seed(1234)
n - 100
# Generate outcome
outcome - rbinom(n, 3, 0.5)
colnames(exposures) - paste(V, seq(1:10), sep = )
#Generate dummy variables for A and B
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